{"id":"https://openalex.org/W2789658545","doi":"https://doi.org/10.1007/978-3-319-76581-5_5","title":"Improved (Almost) Tightly-Secure Structure-Preserving Signatures","display_name":"Improved (Almost) Tightly-Secure Structure-Preserving Signatures","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789658545","doi":"https://doi.org/10.1007/978-3-319-76581-5_5","mag":"2789658545"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-76581-5_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-76581-5_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048218857","display_name":"Charanjit S. Jutla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charanjit S. Jutla","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063127896","display_name":"Miyako Ohkubo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miyako Ohkubo","raw_affiliation_strings":["Security Fundamentals Laboratories, CSR, NICT, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Security Fundamentals Laboratories, CSR, NICT, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605963","display_name":"Arnab Roy","orcid":"https://orcid.org/0000-0002-3284-7076"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arnab Roy","raw_affiliation_strings":["Fujitsu Laboratories of America, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100605963"],"corresponding_institution_ids":["https://openalex.org/I4210094759"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.4469,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91266133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11693","display_name":"Cryptography and Residue Arithmetic","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900475025177002},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.625288188457489},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6183153390884399},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5721742510795593},{"id":"https://openalex.org/keywords/security-parameter","display_name":"Security parameter","score":0.549691379070282},{"id":"https://openalex.org/keywords/credential","display_name":"Credential","score":0.5190721154212952},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5001938343048096},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.46303069591522217},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.43922626972198486},{"id":"https://openalex.org/keywords/pairing","display_name":"Pairing","score":0.4368709623813629},{"id":"https://openalex.org/keywords/bilinear-map","display_name":"Bilinear map","score":0.43280094861984253},{"id":"https://openalex.org/keywords/public-key-cryptography","display_name":"Public-key cryptography","score":0.42314350605010986},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41841307282447815},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.41345635056495667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3149513006210327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2939411699771881},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.244459867477417},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08175238966941833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900475025177002},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.625288188457489},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6183153390884399},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5721742510795593},{"id":"https://openalex.org/C2776711565","wikidata":"https://www.wikidata.org/wiki/Q7445058","display_name":"Security parameter","level":3,"score":0.549691379070282},{"id":"https://openalex.org/C2777810591","wikidata":"https://www.wikidata.org/wiki/Q16861606","display_name":"Credential","level":2,"score":0.5190721154212952},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5001938343048096},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.46303069591522217},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.43922626972198486},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.4368709623813629},{"id":"https://openalex.org/C142685569","wikidata":"https://www.wikidata.org/wiki/Q1086961","display_name":"Bilinear map","level":3,"score":0.43280094861984253},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.42314350605010986},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41841307282447815},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.41345635056495667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3149513006210327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2939411699771881},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.244459867477417},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08175238966941833},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-76581-5_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-76581-5_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W27132305","https://openalex.org/W115773529","https://openalex.org/W148801026","https://openalex.org/W174958306","https://openalex.org/W835751452","https://openalex.org/W869862489","https://openalex.org/W1476678265","https://openalex.org/W1525737403","https://openalex.org/W1527414074","https://openalex.org/W1534388293","https://openalex.org/W1538454813","https://openalex.org/W1548963432","https://openalex.org/W1606936281","https://openalex.org/W1682142539","https://openalex.org/W1831244441","https://openalex.org/W1901278359","https://openalex.org/W2073210531","https://openalex.org/W2089537103","https://openalex.org/W2101803085","https://openalex.org/W2138805158","https://openalex.org/W2141395382","https://openalex.org/W2159339434","https://openalex.org/W2166403741","https://openalex.org/W2172174332","https://openalex.org/W2186696792","https://openalex.org/W2222086599","https://openalex.org/W2225954419","https://openalex.org/W2295458626","https://openalex.org/W2394843291","https://openalex.org/W2398071743","https://openalex.org/W2404371125","https://openalex.org/W2464211838","https://openalex.org/W2585373495","https://openalex.org/W2731024910","https://openalex.org/W3029739590","https://openalex.org/W3193898758","https://openalex.org/W4254600874"],"related_works":["https://openalex.org/W2946208069","https://openalex.org/W4242229754","https://openalex.org/W1994004144","https://openalex.org/W3029045823","https://openalex.org/W2400565204","https://openalex.org/W2885113919","https://openalex.org/W4287102253","https://openalex.org/W1998783337","https://openalex.org/W1963546854","https://openalex.org/W2949607150"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
